{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8a24201a-d39e-45cc-9f47-498d1eeb7384",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from matplotlib.pyplot import MultipleLocator\n",
    "# 支持中文\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 用来正常显示负号"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e3342f81-bd56-436e-99af-6140b0066581",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>指标</th>\n",
       "      <th>2023年</th>\n",
       "      <th>2022年</th>\n",
       "      <th>2021年</th>\n",
       "      <th>2020年</th>\n",
       "      <th>2019年</th>\n",
       "      <th>2018年</th>\n",
       "      <th>2017年</th>\n",
       "      <th>2016年</th>\n",
       "      <th>2015年</th>\n",
       "      <th>...</th>\n",
       "      <th>2013年</th>\n",
       "      <th>2012年</th>\n",
       "      <th>2011年</th>\n",
       "      <th>2010年</th>\n",
       "      <th>2009年</th>\n",
       "      <th>2008年</th>\n",
       "      <th>2007年</th>\n",
       "      <th>2006年</th>\n",
       "      <th>2005年</th>\n",
       "      <th>2004年</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>村卫生室个数(个)</td>\n",
       "      <td>583000.0</td>\n",
       "      <td>587749.00</td>\n",
       "      <td>599292.00</td>\n",
       "      <td>608828.0</td>\n",
       "      <td>616094.00</td>\n",
       "      <td>622001.00</td>\n",
       "      <td>632057.0</td>\n",
       "      <td>638763.00</td>\n",
       "      <td>640536.00</td>\n",
       "      <td>...</td>\n",
       "      <td>648619.00</td>\n",
       "      <td>653419.00</td>\n",
       "      <td>662894.0</td>\n",
       "      <td>648424.00</td>\n",
       "      <td>632770.0</td>\n",
       "      <td>613143.0</td>\n",
       "      <td>613855.0</td>\n",
       "      <td>609128.0</td>\n",
       "      <td>583209.00</td>\n",
       "      <td>551600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>村办的村卫生室个数(个)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>335704.00</td>\n",
       "      <td>338065.00</td>\n",
       "      <td>337868.0</td>\n",
       "      <td>339525.00</td>\n",
       "      <td>342062.00</td>\n",
       "      <td>349025.0</td>\n",
       "      <td>351016.00</td>\n",
       "      <td>353196.00</td>\n",
       "      <td>...</td>\n",
       "      <td>371579.00</td>\n",
       "      <td>370099.00</td>\n",
       "      <td>372661.0</td>\n",
       "      <td>365153.00</td>\n",
       "      <td>350515.0</td>\n",
       "      <td>342692.0</td>\n",
       "      <td>340082.0</td>\n",
       "      <td>333790.0</td>\n",
       "      <td>313633.00</td>\n",
       "      <td>298418.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>乡卫生院设点的村卫生室个数(个)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64325.00</td>\n",
       "      <td>67551.00</td>\n",
       "      <td>71858.0</td>\n",
       "      <td>69091.00</td>\n",
       "      <td>65495.00</td>\n",
       "      <td>63598.0</td>\n",
       "      <td>60419.00</td>\n",
       "      <td>60231.00</td>\n",
       "      <td>...</td>\n",
       "      <td>59896.00</td>\n",
       "      <td>58317.00</td>\n",
       "      <td>56128.0</td>\n",
       "      <td>49678.00</td>\n",
       "      <td>45434.0</td>\n",
       "      <td>40248.0</td>\n",
       "      <td>33633.0</td>\n",
       "      <td>34803.0</td>\n",
       "      <td>32396.00</td>\n",
       "      <td>26964.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>联合办的村卫生室个数(个)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25367.00</td>\n",
       "      <td>26751.00</td>\n",
       "      <td>26817.0</td>\n",
       "      <td>27626.00</td>\n",
       "      <td>28353.00</td>\n",
       "      <td>28687.0</td>\n",
       "      <td>29336.00</td>\n",
       "      <td>29208.00</td>\n",
       "      <td>...</td>\n",
       "      <td>32690.00</td>\n",
       "      <td>32278.00</td>\n",
       "      <td>33639.0</td>\n",
       "      <td>32650.00</td>\n",
       "      <td>31035.0</td>\n",
       "      <td>31698.0</td>\n",
       "      <td>33649.0</td>\n",
       "      <td>36805.0</td>\n",
       "      <td>38561.00</td>\n",
       "      <td>40231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>私人办的村卫生室个数(个)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>109640.00</td>\n",
       "      <td>118322.00</td>\n",
       "      <td>125503.0</td>\n",
       "      <td>134575.00</td>\n",
       "      <td>141623.00</td>\n",
       "      <td>147046.0</td>\n",
       "      <td>152164.00</td>\n",
       "      <td>153353.00</td>\n",
       "      <td>...</td>\n",
       "      <td>158811.00</td>\n",
       "      <td>167025.00</td>\n",
       "      <td>175747.0</td>\n",
       "      <td>177080.00</td>\n",
       "      <td>183699.0</td>\n",
       "      <td>180157.0</td>\n",
       "      <td>186841.0</td>\n",
       "      <td>186524.0</td>\n",
       "      <td>180403.00</td>\n",
       "      <td>166533.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>其他办的村卫生室个数(个)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>52713.00</td>\n",
       "      <td>48603.00</td>\n",
       "      <td>46782.0</td>\n",
       "      <td>45277.00</td>\n",
       "      <td>44468.00</td>\n",
       "      <td>43701.0</td>\n",
       "      <td>45828.00</td>\n",
       "      <td>44548.00</td>\n",
       "      <td>...</td>\n",
       "      <td>25643.00</td>\n",
       "      <td>25700.00</td>\n",
       "      <td>24719.0</td>\n",
       "      <td>23863.00</td>\n",
       "      <td>22087.0</td>\n",
       "      <td>18348.0</td>\n",
       "      <td>19650.0</td>\n",
       "      <td>17206.0</td>\n",
       "      <td>18216.00</td>\n",
       "      <td>19454.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>设卫生室的村数占行政村数%(%)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>94.80</td>\n",
       "      <td>94.00</td>\n",
       "      <td>92.8</td>\n",
       "      <td>92.90</td>\n",
       "      <td>93.30</td>\n",
       "      <td>...</td>\n",
       "      <td>93.00</td>\n",
       "      <td>93.30</td>\n",
       "      <td>93.4</td>\n",
       "      <td>92.30</td>\n",
       "      <td>90.4</td>\n",
       "      <td>89.4</td>\n",
       "      <td>88.7</td>\n",
       "      <td>88.1</td>\n",
       "      <td>85.80</td>\n",
       "      <td>80.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>卫生人员数(万人)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1441.08</td>\n",
       "      <td>1398.54</td>\n",
       "      <td>1347.5</td>\n",
       "      <td>1292.83</td>\n",
       "      <td>1230.03</td>\n",
       "      <td>1174.9</td>\n",
       "      <td>1117.29</td>\n",
       "      <td>1069.39</td>\n",
       "      <td>...</td>\n",
       "      <td>979.05</td>\n",
       "      <td>911.57</td>\n",
       "      <td>861.6</td>\n",
       "      <td>820.75</td>\n",
       "      <td>778.1</td>\n",
       "      <td>725.2</td>\n",
       "      <td>696.4</td>\n",
       "      <td>668.1</td>\n",
       "      <td>644.72</td>\n",
       "      <td>633.3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 指标     2023年      2022年      2021年     2020年      2019年  \\\n",
       "0         村卫生室个数(个)  583000.0  587749.00  599292.00  608828.0  616094.00   \n",
       "1      村办的村卫生室个数(个)       NaN  335704.00  338065.00  337868.0  339525.00   \n",
       "2  乡卫生院设点的村卫生室个数(个)       NaN   64325.00   67551.00   71858.0   69091.00   \n",
       "3     联合办的村卫生室个数(个)       NaN   25367.00   26751.00   26817.0   27626.00   \n",
       "4     私人办的村卫生室个数(个)       NaN  109640.00  118322.00  125503.0  134575.00   \n",
       "5     其他办的村卫生室个数(个)       NaN   52713.00   48603.00   46782.0   45277.00   \n",
       "6  设卫生室的村数占行政村数%(%)       NaN        NaN        NaN       NaN      94.80   \n",
       "7         卫生人员数(万人)       NaN    1441.08    1398.54    1347.5    1292.83   \n",
       "\n",
       "       2018年     2017年      2016年      2015年  ...      2013年      2012年  \\\n",
       "0  622001.00  632057.0  638763.00  640536.00  ...  648619.00  653419.00   \n",
       "1  342062.00  349025.0  351016.00  353196.00  ...  371579.00  370099.00   \n",
       "2   65495.00   63598.0   60419.00   60231.00  ...   59896.00   58317.00   \n",
       "3   28353.00   28687.0   29336.00   29208.00  ...   32690.00   32278.00   \n",
       "4  141623.00  147046.0  152164.00  153353.00  ...  158811.00  167025.00   \n",
       "5   44468.00   43701.0   45828.00   44548.00  ...   25643.00   25700.00   \n",
       "6      94.00      92.8      92.90      93.30  ...      93.00      93.30   \n",
       "7    1230.03    1174.9    1117.29    1069.39  ...     979.05     911.57   \n",
       "\n",
       "      2011年      2010年     2009年     2008年     2007年     2006年      2005年  \\\n",
       "0  662894.0  648424.00  632770.0  613143.0  613855.0  609128.0  583209.00   \n",
       "1  372661.0  365153.00  350515.0  342692.0  340082.0  333790.0  313633.00   \n",
       "2   56128.0   49678.00   45434.0   40248.0   33633.0   34803.0   32396.00   \n",
       "3   33639.0   32650.00   31035.0   31698.0   33649.0   36805.0   38561.00   \n",
       "4  175747.0  177080.00  183699.0  180157.0  186841.0  186524.0  180403.00   \n",
       "5   24719.0   23863.00   22087.0   18348.0   19650.0   17206.0   18216.00   \n",
       "6      93.4      92.30      90.4      89.4      88.7      88.1      85.80   \n",
       "7     861.6     820.75     778.1     725.2     696.4     668.1     644.72   \n",
       "\n",
       "      2004年  \n",
       "0  551600.0  \n",
       "1  298418.0  \n",
       "2   26964.0  \n",
       "3   40231.0  \n",
       "4  166533.0  \n",
       "5   19454.0  \n",
       "6      80.7  \n",
       "7     633.3  \n",
       "\n",
       "[8 rows x 21 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.read_excel('小组5.xls',sheet_name=0)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "be66a2cc-4d26-4878-96d6-8ad35ea33793",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['指标',\n",
       " '2023年',\n",
       " '2022年',\n",
       " '2021年',\n",
       " '2020年',\n",
       " '2019年',\n",
       " '2018年',\n",
       " '2017年',\n",
       " '2016年',\n",
       " '2015年',\n",
       " '2014年',\n",
       " '2013年',\n",
       " '2012年',\n",
       " '2011年',\n",
       " '2010年',\n",
       " '2009年',\n",
       " '2008年',\n",
       " '2007年',\n",
       " '2006年',\n",
       " '2005年',\n",
       " '2004年']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x=list(df) \n",
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "151cc5ac-945e-4852-b944-a1d00bc80153",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['2023年', '2022年', '2021年', '2020年', '2019年', '2018年', '2017年', '2016年', '2015年', '2014年', '2013年', '2012年', '2011年', '2010年', '2009年', '2008年', '2007年', '2006年', '2005年', '2004年'] ['村卫生室个数(个)', '村办的村卫生室个数(个)', '乡卫生院设点的村卫生室个数(个)', '联合办的村卫生室个数(个)', '私人办的村卫生室个数(个)', '其他办的村卫生室个数(个)', '设卫生室的村数占行政村数%(%)', '卫生人员数(万人)']\n"
     ]
    }
   ],
   "source": [
    "x=list(df) \n",
    "x.pop(0)\n",
    "y=list(df['指标']) \n",
    "print(x,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e09714f1-ca3e-4fef-b76e-27e9f410d6af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['村办的村卫生室个数(个)',\n",
       " nan,\n",
       " 335704.0,\n",
       " 338065.0,\n",
       " 337868.0,\n",
       " 339525.0,\n",
       " 342062.0,\n",
       " 349025.0,\n",
       " 351016.0,\n",
       " 353196.0,\n",
       " 349428.0,\n",
       " 371579.0,\n",
       " 370099.0,\n",
       " 372661.0,\n",
       " 365153.0,\n",
       " 350515.0,\n",
       " 342692.0,\n",
       " 340082.0,\n",
       " 333790.0,\n",
       " 313633.0,\n",
       " 298418.0]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "data1 = df.loc[1]\n",
    "data1=list(data1)\n",
    "data1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "1026ac87-13fc-4cba-9ba4-9276e08a6512",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[583000.0, 587749.0, 599292.0, 608828.0, 616094.0, 622001.0, 632057.0, 638763.0, 640536.0, 645470.0, 648619.0, 653419.0, 662894.0, 648424.0, 632770.0, 613143.0, 613855.0, 609128.0, 583209.0, 551600.0]\n",
      "[nan, 335704.0, 338065.0, 337868.0, 339525.0, 342062.0, 349025.0, 351016.0, 353196.0, 349428.0, 371579.0, 370099.0, 372661.0, 365153.0, 350515.0, 342692.0, 340082.0, 333790.0, 313633.0, 298418.0]\n",
      "[nan, 64325.0, 67551.0, 71858.0, 69091.0, 65495.0, 63598.0, 60419.0, 60231.0, 59396.0, 59896.0, 58317.0, 56128.0, 49678.0, 45434.0, 40248.0, 33633.0, 34803.0, 32396.0, 26964.0]\n",
      "[nan, 25367.0, 26751.0, 26817.0, 27626.0, 28353.0, 28687.0, 29336.0, 29208.0, 29180.0, 32690.0, 32278.0, 33639.0, 32650.0, 31035.0, 31698.0, 33649.0, 36805.0, 38561.0, 40231.0]\n",
      "[nan, 109640.0, 118322.0, 125503.0, 134575.0, 141623.0, 147046.0, 152164.0, 153353.0, 160549.0, 158811.0, 167025.0, 175747.0, 177080.0, 183699.0, 180157.0, 186841.0, 186524.0, 180403.0, 166533.0]\n",
      "[nan, 52713.0, 48603.0, 46782.0, 45277.0, 44468.0, 43701.0, 45828.0, 44548.0, 46917.0, 25643.0, 25700.0, 24719.0, 23863.0, 22087.0, 18348.0, 19650.0, 17206.0, 18216.0, 19454.0]\n",
      "[nan, nan, nan, nan, 94.8, 94.0, 92.8, 92.9, 93.3, 93.3, 93.0, 93.3, 93.4, 92.3, 90.4, 89.4, 88.7, 88.1, 85.8, 80.7]\n",
      "[nan, 1441.08, 1398.54, 1347.5, 1292.83, 1230.03, 1174.9, 1117.29, 1069.39, 1023.42, 979.05, 911.57, 861.6, 820.75, 778.1, 725.2, 696.4, 668.1, 644.72, 633.3]\n"
     ]
    }
   ],
   "source": [
    "q = [[0 for i in range(8)] for j in range(20)]\n",
    "for i in range(8):\n",
    "    q[i]=list(df.loc[i])\n",
    "    q[i].pop(0)\n",
    "    print(q[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9a7632c1-dbf2-4aac-b005-c364fbff44bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "colors=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet']\n",
    "for i in range(1,6):\n",
    "    ax=plt.plot(x,q[i],linewidth=2,color='r',marker='o',markerfacecolor=colors[i],markersize=4,label=y[i])\n",
    "plt.xticks(range(20),x,fontsize=10,rotation=55)\n",
    "plt.rcParams.update({'font.size': 8})\n",
    "plt.legend(loc='center left')\n",
    "plt.xlabel('年份'); plt.ylabel('个数');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c20797f3-092b-47eb-a6a7-f575f09716d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[nan,\n",
       " 1441.08,\n",
       " 1398.54,\n",
       " 1347.5,\n",
       " 1292.83,\n",
       " 1230.03,\n",
       " 1174.9,\n",
       " 1117.29,\n",
       " 1069.39,\n",
       " 1023.42,\n",
       " 979.05,\n",
       " 911.57,\n",
       " 861.6,\n",
       " 820.75,\n",
       " 778.1,\n",
       " 725.2,\n",
       " 696.4,\n",
       " 668.1,\n",
       " 644.72,\n",
       " 633.3]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q[7]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d631c243-5490-40fd-be7c-50d680c0a1fd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(x, q[7])\n",
    "plt.xticks(range(20),x,fontsize=10,rotation=55)\n",
    "plt.xlabel('年份'); plt.ylabel('卫生人员数(万人)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "820d758f-eabe-439a-a938-ffe7c3b8a765",
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_excel('小组5.xls',sheet_name=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "cc9be0dd-2405-4e38-a9c1-a28fba5a5535",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      年份  农村水电建设本年完成投资额(万元)  农村发电设备容量(千瓦)  农村新增发电设备容量(千瓦)  农村在建电站规模(千瓦)  \\\n",
      "0  2004年            3762995      38655048         4363322      16652425   \n",
      "1  2005年            4343826      43090145         4964672      17727677   \n",
      "2  2006年            4604296      47196651         6403520      20653424   \n",
      "3  2007年            5117926      53855597         6578193      20944545   \n",
      "4  2008年            4568884      51274371         4194106      21239258   \n",
      "\n",
      "   农村当年新开工电站规模(千瓦)  农村发电量(万千瓦时)  \n",
      "0          5362090     11045527  \n",
      "1          4284511     13571702  \n",
      "2          4501575     14835889  \n",
      "3          4498420     16346041  \n",
      "4          3787365     16275902  \n"
     ]
    }
   ],
   "source": [
    "print(df.head()) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "c11404ed-ac1f-4bce-89f3-063524fa40e1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x181736cec10>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title('发电')\n",
    "plt.plot(df[\"年份\"],df[\"农村发电设备容量(千瓦)\"],label='农村发电设备容量(千瓦)',linewidth=3,color='r',marker='o',markerfacecolor='blue',markersize=5)\n",
    "plt.plot(df[\"年份\"],df[\"农村新增发电设备容量(千瓦)\"],label='农村新增发电设备容量(千瓦)',linewidth=3,color='y',marker='o',markerfacecolor='green',markersize=5)\n",
    "plt.xticks(rotation = 90)\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "c808f54b-d4c0-41de-9407-05e0fda8828d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x181710b7fd0>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title('电站')\n",
    "plt.plot(df[\"年份\"],df[\"农村在建电站规模(千瓦)\"],label='农村在建电站规模(千瓦)',linewidth=3,color='r',marker='o',markerfacecolor='blue',markersize=5)\n",
    "plt.plot(df[\"年份\"],df[\"农村当年新开工电站规模(千瓦)\"],label='农村当年新开工电站规模(千瓦)',linewidth=3,color='y',marker='o',markerfacecolor='green',markersize=5)\n",
    "plt.xticks(rotation = 90)\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "834dc433-d78c-4ea7-9a4a-3dace79b11a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x181728db010>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title('发电量')\n",
    "plt.plot(df[\"年份\"],df[\"农村发电量(万千瓦时)\"],label='农村发电量(万千瓦时)',linewidth=3,color='r',marker='o',markerfacecolor='blue',markersize=5)\n",
    "plt.xticks(rotation = 90)\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "2b70ea61-a696-4656-940c-b4fdfb1a9caf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1817377db50>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title('投资')\n",
    "plt.plot(df[\"年份\"],df[\"农村水电建设本年完成投资额(万元)\"],label='农村水电建设本年完成投资额(万元)',linewidth=3,color='r',marker='o',markerfacecolor='blue',markersize=5)\n",
    "plt.xticks(rotation = 90)\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "71d48a54-1774-4064-998d-a15d5a46bf70",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           年份  2014年  2015年  2016年  2017年  2018年  2019年  2020年  2021年  2022年  \\\n",
      "0    就业人员(万人)  76349  76320  76245  76058  75782  75447  75064  74652  73351   \n",
      "1  城镇就业人员(万人)  39703  40916  42051  43208  44292  45249  46271  46773  45931   \n",
      "2  乡村就业人员(万人)  36646  35404  34194  32850  31490  30198  28793  27879  27420   \n",
      "\n",
      "     2023年  \n",
      "0  74041.0  \n",
      "1  47032.0  \n",
      "2      NaN  \n"
     ]
    }
   ],
   "source": [
    "df=pd.read_excel('小组5.xls',sheet_name=2)\n",
    "\n",
    "print(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "c24ed2a5-f72d-4ba4-9f2a-d8c6b39a5f91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2014年</th>\n",
       "      <th>2015年</th>\n",
       "      <th>2016年</th>\n",
       "      <th>2017年</th>\n",
       "      <th>2018年</th>\n",
       "      <th>2019年</th>\n",
       "      <th>2020年</th>\n",
       "      <th>2021年</th>\n",
       "      <th>2022年</th>\n",
       "      <th>2023年</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>年份</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>就业人员(万人)</th>\n",
       "      <td>76349</td>\n",
       "      <td>76320</td>\n",
       "      <td>76245</td>\n",
       "      <td>76058</td>\n",
       "      <td>75782</td>\n",
       "      <td>75447</td>\n",
       "      <td>75064</td>\n",
       "      <td>74652</td>\n",
       "      <td>73351</td>\n",
       "      <td>74041.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>城镇就业人员(万人)</th>\n",
       "      <td>39703</td>\n",
       "      <td>40916</td>\n",
       "      <td>42051</td>\n",
       "      <td>43208</td>\n",
       "      <td>44292</td>\n",
       "      <td>45249</td>\n",
       "      <td>46271</td>\n",
       "      <td>46773</td>\n",
       "      <td>45931</td>\n",
       "      <td>47032.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>乡村就业人员(万人)</th>\n",
       "      <td>36646</td>\n",
       "      <td>35404</td>\n",
       "      <td>34194</td>\n",
       "      <td>32850</td>\n",
       "      <td>31490</td>\n",
       "      <td>30198</td>\n",
       "      <td>28793</td>\n",
       "      <td>27879</td>\n",
       "      <td>27420</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            2014年  2015年  2016年  2017年  2018年  2019年  2020年  2021年  2022年  \\\n",
       "年份                                                                          \n",
       "就业人员(万人)    76349  76320  76245  76058  75782  75447  75064  74652  73351   \n",
       "城镇就业人员(万人)  39703  40916  42051  43208  44292  45249  46271  46773  45931   \n",
       "乡村就业人员(万人)  36646  35404  34194  32850  31490  30198  28793  27879  27420   \n",
       "\n",
       "              2023年  \n",
       "年份                   \n",
       "就业人员(万人)    74041.0  \n",
       "城镇就业人员(万人)  47032.0  \n",
       "乡村就业人员(万人)      NaN  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.read_excel('小组5.xls',sheet_name=2)\n",
    "df = df.set_index('年份')   #改索引\n",
    "\n",
    "y1=df.loc['就业人员(万人)']      #qiepianshuju\n",
    "y2=df.loc['城镇就业人员(万人)']\n",
    "y3=df.loc['乡村就业人员(万人)']\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "69820bab-864a-4417-b9e1-c9b5aabbd431",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x=['2014年','2015年','2016年','2017年','2018年','2019年','2020年','2021年','2022年','2023年']\n",
    "# 创建一个 DataFrame\n",
    "df = pd.DataFrame({'就业人员': y1,'城镇就业人员': y2,'乡村就业人员': y3})\n",
    "colors=['red','green','blue']    #设置颜色\n",
    "# 使用 plot() 函数绘制柱状图\n",
    "df.plot(kind='bar',color=colors,alpha=0.6)  # 垂直柱状图 ,透明度0.6      水平柱状图用barh\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "0e2498a3-4e0a-4ed7-b0d6-decb0fa4dea5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pd.DataFrame({'就业人员': y1})\n",
    "colors=['red'] \n",
    "df.plot(kind='bar',color=colors,alpha=0.6)\n",
    "plt.ylim(70000,80000)   #设置Y轴长度\n",
    "plt.ylabel(\"人数(万人)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "10582b1b-2476-4ba9-932f-93975d482977",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pd.DataFrame({'城镇就业人员': y2})\n",
    "colors=['green'] \n",
    "df.plot(kind='bar',color=colors,alpha=0.6)\n",
    "plt.ylim(30000,50000)   #设置Y轴长度\n",
    "plt.ylabel(\"人数(万人)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "da38c590-e454-4f5e-903e-d3eeba223a89",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pd.DataFrame({'乡村就业人员': y3})\n",
    "colors=['blue'] \n",
    "df.plot(kind='bar',color=colors,alpha=0.6)\n",
    "plt.ylim(20000,40000)   #设置Y轴长度\n",
    "plt.ylabel(\"人数(万人)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "3511dc16-9b86-4017-a66e-4be42f5f12ee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pd.DataFrame({'就业人员': y1})\n",
    "colors=['red'] \n",
    "df.plot(kind='bar',color=colors,alpha=0.6)\n",
    "plt.ylim(70000,80000)   #设置Y轴长度\n",
    "plt.ylabel(\"人数(万人)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "bb2a6f82-ea38-4051-818d-75b71646fefa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "i=0\n",
    "for marker in ['o', '.', '+']:\n",
    "    if i==0:\n",
    "        y=y1\n",
    "    elif i==1:\n",
    "        y=y2\n",
    "    elif i==2:\n",
    "        y=y3\n",
    "    plt.plot(x, y, marker,label=\"marker='{0}'\".format(marker))   #marker取点\n",
    "    i=i+1\n",
    "plt.legend(numpoints=1)\n",
    "plt.title('散点图')\n",
    "plt.xlabel(\"年份\")\n",
    "plt.ylabel(\"人数(万人)\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "9e64a564-34da-4796-a7e6-0e3de0831b0c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '就业人员(万人)')"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, y1, marker,label=\"marker='o'\")\n",
    "plt.ylabel(\"就业人员(万人)\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
